Data-driven methods for detection of abnormal ship behavior: Progress and trends
Maritime traffic safety influences the development of world economies. A major aspect to
enhance maritime traffic safety is the effective detection of abnormal ship behavior (DASB) …
enhance maritime traffic safety is the effective detection of abnormal ship behavior (DASB) …
[HTML][HTML] AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods
Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …
environment caused by large-scale and high-speed ships, particularly with the introduction …
[HTML][HTML] Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships
Abstract Maritime Autonomous Surface Ships (MASS) are deemed as the future of maritime
transport. Although showing attractiveness in terms of the solutions to emerging challenges …
transport. Although showing attractiveness in terms of the solutions to emerging challenges …
AIS-based vessel trajectory compression: a systematic review and software development
With the advancement of satellite and 5G communication technologies, vehicles can
transmit and exchange data from anywhere in the world. It has resulted in the generation of …
transmit and exchange data from anywhere in the world. It has resulted in the generation of …
Adaptively constrained dynamic time war** for time series classification and clustering
Time series classification and clustering are important for data mining research, which is
conducive to recognizing movement patterns, finding customary routes, and detecting …
conducive to recognizing movement patterns, finding customary routes, and detecting …
Exploring AIS data for intelligent maritime routes extraction
Z Yan, Y ** and convolutional neural network techniques with EEG signals
Abstract Autism Spectrum Disorders (ASD) is a collection of complicated neurological
disorders that first show in early childhood. Electroencephalogram (EEG) signals are widely …
disorders that first show in early childhood. Electroencephalogram (EEG) signals are widely …
GPU-accelerated compression and visualization of large-scale vessel trajectories in maritime IoT industries
Y Huang, Y Li, Z Zhang, RW Liu - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The automatic identification system (AIS), an automatic vessel-tracking system, has been
widely adopted to perform intelligent traffic management and collision avoidance services in …
widely adopted to perform intelligent traffic management and collision avoidance services in …